Produktbild: Learn PySpark

Learn PySpark

Lieferzeit: Lieferbar innerhalb 14 Tagen

58,84 €

inkl. 7 % MwSt. zzgl. Versandkosten

Build Python-based Machine Learning and Deep Learning Models

ISBN: 1484249607
ISBN 13: 9781484249604
Autor: Singh, Pramod
Verlag: APress
Umfang: xviii, 210 S., 155 s/w Illustr., 32 farbige Illustr., 210 p. 187 illus., 32 illus. in color.
Erscheinungsdatum: 07.09.2019
Auflage: 1/2020
Produktform: Kartoniert
Einband: Kartoniert

Leverage machine and deep learning models to build applications on real-time data using PySpark. This book is perfect for those who want to learn to use this language to perform exploratory data analysis and solve an array of business challenges. You’ll start by reviewing PySpark fundamentals, such as Spark’s core architecture, and see how to use PySpark for big data processing like data ingestion, cleaning, and transformations techniques. This is followed by building workflows for analyzing streaming data using PySpark and a comparison of various streaming platforms. You’ll then see how to schedule different spark jobs using Airflow with PySpark and book examine tuning machine and deep learning models for real-time predictions. This book concludes with a discussion on graph frames and performing network analysis using graph algorithms in PySpark. All the code presented in the book will be available in Python scripts on Github.

Artikelnummer: 7207919 Kategorie:

Beschreibung

Learn PySpark Chapter 1: Introduction to PySpark Chapter 2: Data Processing Chapter 3: Spark Structured Streaming Chapter 4: Airflow Chapter 5: Machine Learning Library (MLlib) Chapter 6: Supervised Machine Learning Chapter 7: Unsupervised Machine Learning Chapter 8: Deep Learning Using PySpark

Autorenporträt

Pramod Singh is currently a Manager (Data Science) at Publicis Sapient and working as data science lead for a project with Mercedes Benz. He has spent the last nine years working on multiple Data projects at SapientRazorfish, Infosys & Tally and has used traditional to advanced machine learning and deep learning techniques in multiple projects using R, Python, Spark and Tensorflow. Pramod has also been a regular speaker at major conferences in India and abroad and is currently authoring a couple of books on Deep Learning and AI techniques. He regularly conducts Data Science meetups at SapientRazorfish and presents webinars on Machine Learning and Artificial Intelligence. He lives in Bangalore with his wife and 2-year-old son. In his spare time, he enjoys coding, reading and watching football.

Herstellerkennzeichnung:


APress in Springer Science + Business Media
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14197 Berlin
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E-Mail: juergen.hartmann@springer.com

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